著者
Daichi Kitamura
出版者
ACOUSTICAL SOCIETY OF JAPAN
雑誌
Acoustical Science and Technology (ISSN:13463969)
巻号頁・発行日
vol.40, no.3, pp.155-161, 2019-05-01 (Released:2019-05-01)
参考文献数
35
被引用文献数
7

Nonnegative matrix factorization (NMF) is a powerful technique of extracting meaningful patterns from an observed matrix and has been used for many applications in the audio signal processing field. In this article, the principle of NMF and some extensions based on a complex generative model are reviewed. Also, their application to audio source separation is presented.
著者
Masahiro Harazono Daichi Kitamura Masashi Nakayama
出版者
ACOUSTICAL SOCIETY OF JAPAN
雑誌
Acoustical Science and Technology (ISSN:13463969)
巻号頁・発行日
vol.33, no.5, pp.301-309, 2012-05-01 (Released:2012-09-01)
参考文献数
7
被引用文献数
1

As a factor to characterize the sound of an electric guitar, it is thought that a characteristic of the pickup contributes most. The pickups most often used are classified roughly into single-coil models and humbucking models. The single-coil pickup is made by winding the thin wires with several thousand turns of coils around six polarizing pole pieces each corresponding to a string of the guitar, and the change in the magnetic reluctance owing to the string vibration that causes the change in the magnetic flux is transformed into an electrical signal. The humbucking pickup is composed of one magnetic circuit with two single-coil pickups, and made to be in phase electrically and out of phase magnetically for the purpose of removing circumference magnetic noise. In this paper, the response of the humbucking pickup excited by a string vibration set up by a real commercial solid body electric guitar is analyzed, and a simulation result is shown to agree with an actual measured value with sufficient precision. In addition, the response of the humbucking pickup imitated with two single-coil pickups is compared with the single-coil pickup and some additional considerations in the characteristics have been gained through analysis.
著者
Shinichi MOGAMI Yoshiki MITSUI Norihiro TAKAMUNE Daichi KITAMURA Hiroshi SARUWATARI Yu TAKAHASHI Kazunobu KONDO Hiroaki NAKAJIMA Hirokazu KAMEOKA
出版者
The Institute of Electronics, Information and Communication Engineers
雑誌
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences (ISSN:09168508)
巻号頁・発行日
vol.E102-A, no.2, pp.458-463, 2019-02-01
被引用文献数
5

In this letter, we propose a new blind source separation method, independent low-rank matrix analysis based on generalized Kullback-Leibler divergence. This method assumes a time-frequency-varying complex Poisson distribution as the source generative model, which yields convex optimization in the spectrogram estimation. The experimental evaluation confirms the proposed method's efficacy.
著者
Yuta IWASE Daichi KITAMURA
出版者
The Institute of Electronics, Information and Communication Engineers
雑誌
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences (ISSN:09168508)
巻号頁・発行日
vol.E105-A, no.6, pp.906-913, 2022-06-01

In this study, we aim to improve the performance of audio source separation for monaural mixture signals. For monaural audio source separation, semisupervised nonnegative matrix factorization (SNMF) can achieve higher separation performance by employing small supervised signals. In particular, penalized SNMF (PSNMF) with orthogonality penalty is an effective method. PSNMF forces two basis matrices for target and nontarget sources to be orthogonal to each other and improves the separation accuracy. However, the conventional orthogonality penalty is based on an inner product and does not affect the estimation of the basis matrix properly because of the scale indeterminacy between the basis and activation matrices in NMF. To cope with this problem, a new PSNMF with cosine similarity between the basis matrices is proposed. The experimental comparison shows the efficacy of the proposed cosine similarity penalty in supervised audio source separation.